Biotic and microsite factors affecting Pinus albicaulis establishment and survival by Ward Wells McCaughey A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biological Sciences Montana State University © Copyright by Ward Wells McCaughey (1990) Abstract: To culture a major high elevation tree, we need information on biotic and microsite factors affecting whitebark pine (Pinus albicaulis) seed survival, emergence, and seedling establishment. This thesis summarizes the results of the first 2 years of a long-term field study designed to evaluate physical and biological factors affecting whitebark pine establishment and survival. Predator effects on seed survival were estimated by recording seedling emergence under four levels of predator exclusion (exclude birds and rodents, exclude rodents only, exclude birds only, and exclude no predators). Microsite effects were evaluated by recording seedling emergence on mineral, litter, and burned seedbeds, under shade cover (0%, 25%, and 50%), and for buried (5 cm) and surface-sown seeds. Rodents ate or removed all the surface-sown seeds and most of the buried seed they had access to. Birds took neither surface-sown nor buried whitebark pine seeds. Whitebark pine seeds with delayed germination, those that laid dormant over two winters, had higher emergence rates than seeds that germinated after only one winter stratification period. Emergence rates of buried seeds was significantly greater than for surface-sown seeds. Emergence of surface-sown seeds preceded buried seeds. First-year emergence on mineral soil was higher than on litter or burned seedbeds; however, there was no difference in numbers of second-year emergents among seedbed conditions. Shading improved emergence of both first- and second-year seeds. Insolation, drought, and rodents were the primary agents affecting survival of whitebark pine seedlings. Insolation mortality occurred in late June and early July of both measurement years. It was followed by drought mortality which ended in late August. Shade cover decreased insolation mortality and increased drought mortality. Drought mortality was higher than insolation mortality. Seedling losses due to animal damage were minimal and sporadic. More seedling mortality occurred during the winter than during the second growing season. If whitebark seeds are planted, seedling emergence including first-year and delayed emergents, may be highest on shaded mineral seedbeds. BIOTIC AND MICROSITE FACTORS AFFECTING FINDS ALBICAULIS ESTABLISHMENT AND SURVIVAL by Ward Wells McCaughey ! A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biological Sciences MONTANA STATE UNIVERSITY Bozeman, Montana June, 1990 ii APPROVAL of a thesis submitted by Ward Wells McCaughey This thesis has been read by each member of the thesis committee and has been found to be satisfactory regarding content, English usage, format, citations, bibliographic style, and consistency, and is ready for submission to the College of Graduate Studies. . ft-INuxItV Date ”I Chairperson, Graduate Committee Approved for the Major Department 17 Moy IcI0IO____ Date Head, Major Department Approved for the College of Graduate Studies Date Graduate* Dean iii STATEMENT OF PERMISSION TO USE In presenting this thesis in partial fulfillment of the requirements for a doctoral degree at Montana State University, I agree that the Library shall make it available to borrowers under rules of the Library. I further agree that copying of this thesis is allowable only for scholarly purposes, consistent with "fair use" as prescribed in the U.S. Copyright Law. Requests for extensive copying or reproduction of this thesis should be referred to University Microfilms International, 300 North Zeeb Road, Ann Arbor, Michigan 48106, to whom I have granted "the exclusive right to reproduce and distribute copies of the dissertation in and from microfilm and the right to reproduce and distribute by abstract in any format." iv ACKNOWLEDGMENTS I thank the U.S. Forest Service, Intermountain Research Station for the financial support of this project„ I especially thank Wyman Schmidt, Project Leader, for his continued encouragement, support, and advice in all phases of my Ph.D. program. I am thankful to Tad Weaver, my major professor, for his help during the initial planning stages and for his guidance throughout the project. I thank Dick Kracht for helping me locate the experimental site and the Gallatin National Forest for the use of Forest Service land and facilities. I also thank others who helped with various stages of my program. Wally Gladstone, Art Stokes, Mark Bachelor, and Vivek Karnik who helped with the field establishment phase and initial data input. Kathy McDonald's formatting and typing skills are greatly appreciated. My academic committee— Jarvis Brown, Jim Pickett, and Dave Cameron— provided support and advice on my studies and research. I thank my wife, Cathy, and our children, Alex, Mandy, and Travis, for their patience, support, and encouragement throughout this long project. V TABLE OF CONTENTS Page LIST OF TABLES .......................... ......... . ^ vii LIST OF FIGURES........ ..... .............. ..______ __o ix ABSTRACT.... ........................ xi I. INTRODUCTION.................... ..... .......... 1 2. METHODS .................................... 6 3. Study Area.............. Study Design. ........... Treatment Descriptions........................... Predator Exclusion . ........... .............. . Shade.............. ...................... .. Seedbed............................. .........] Sowing Depth................. ................. Plot and Seed Layout........................... []] Measurements..................... *’*’*’ Data Analysis........ ........-..... .............. 21 H -14 16 RESULTS AND DISCUSSION... .......... iq • • • • e e e e e e o e e e e e e e e e e o e o o e e e e Seed Predation...... Surface-Sown Seed........ Buried Seed........................ Emergence........................................ ] Years......... Predator Exclusion.............. Shade Cover......... ^ Seedbed Condition........ Sowing Depth..... Replicate................................ Interactions............. 1988 Interactions..................... 1989 Interactions..... ..................... Delayed Emergence...................... Predator Exclusion...... Shade Cover....... Sowing Depth. ........................ Replicate............................. Interactions.................................. 6 g g g 10 19 19 20 24 24 27 30 31 33 34 35 36 39 41 44 44 45 45 45 vi TABLE OF CONTENTS, (continued) 4. Mortality...... ............................. .... Subsurface Soil Temperatures......... 48 57 CONCLUSIONS.............. ... ................... 61 Seed L o s s e s . ..... . Emergence .................... Mortality........................ :::::::::::::::: ^9 ^ LITERATURE CITED................. 68 APPENDIX....... 74 * ® * ® e e e e e e e e e ® e e * e « e e e e e e e U JL vii LIST OF TABLES Table Page 1. Factors and Factor Levels......... 9 2. Species List of Rodents Trapped on Whitebark Pine Study Area in 1987 and 1988.... ............... 21 Emergence of Whitebark Pine for Exclude Birds Only and Exclude None Treatments in 1988 and 1989. 23 Effect of Year and Biotic and Microsite Factors on Emergence of Whitebark Pine: ' An ANOVA....... 25 Effect of Biotic and Microsite Factors and Their Interactions on 1988 Emergence of Whitebark Pine: An ANOVA.................. 26 Effect of Biotic and Microsite Factors and Their Interactions on 1989 Emergence of Whitebark Pine : An ANOVA................... 26 Percent Emergence of Whitebark Pine as Affected by Predator Exclusion, Shade Cover, Seedbed Condition, Sowing Depth, and Replicate on Treatments Excluding Rodents and Birds (EA) and Excluding Rodents Only (ER) for 1988 and 1989 First-Year and 1989 Delayed Emergents From the 1987 Sowing................. ............... 29 Effect of Biotic and Microsite Factors and Significant Interactions on Delayed Emergence of Whitebark Pine: An ANOVA..................... 43 3. 4. 5. 6. ,7. 8. viii LIST OF TABLES (continued) Table 9. 10. 11. 12. 13. 14. 15. Page Mortality of 1988 and 1989 Whitebark Pine Emergents on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade 52 Maximum Surface Temperatures Recorded on Mineral, Litter, and Burned Seedbeds Under 0%, 25%, and 50% Shade Cover in 1988 and 1989......... . 53 Minimum-Maximum Soil Temperatures at a Depth of 2.5 cm on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade Cover— 1988 and 1989 ......... 58 Precipitation based on inches of accumulated water per month for the hydrologic years 1987, 1988, and 1989 at the Canyon weather station in Yellowstone National Park, Wyoming.... . 75 Precipitation based on inches of accumulated water per month for the hydrologic years 1987, 1988, and 1989 at the Mill Creek weather station on the Gallatin National Forest...... . 76 1988 analysis of variance results showing significance of biotic and microsite factors and two-factor interactions on cumulative percent emergence (arc sine of the square root of proportion transformation) of whitebark pine for each recording date... 77 1989 analysis of variance results showing significance of biotic and microsite factors and two-factor interactions on cumulative percent emergence (arc sine of the square root of proportion transformation) of whitebark pine for each recording date... 78 ix LIST OF FIGURES Figure 1. 2. 3. 4. 5. 6. 7. 8. Page Study Site Location. Gallatin National Forest. Section 14, Township 9 S , Range 9 E, Montana Principal Meridian.................. .7 Schematic Layout of Study Design Showing All the Treatment Combinations in One of Three Replications ............. .............. 12 Schematic Layout of 1987 and 1988 Surface and Buried Seed Locations......... . 13 Cumulative Number of Whitebark Pine Emergents From Buried and Surface Sown Seeds in 2 Years....................... 28 Soil Water in Top 5 cm of Soil on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade Cover in 2 Years...... .......... 32 Percent Moisture in Top 5 cm of Mineral Soil by Replicate for 1988 and 1989........ 35 Two-Way Interactions of the 1988 Biotic and Microsite Factors Affecting Whitebark Pine Emergence: Predator Exclusion by Shade Level (A), Seedbed Condition (B), Sowing Depth (C), and Percent Shade Cover by Seedbed (D) .................. 37 Two-Way Interactions of the 1989 Biotic and Microsite Factors Affecting Whitebark Emergence: Predator Exclusion by Shade Level (A), Seedbed Condition (B), and Seedbed Condition by Sowing Depth (C) 40 X LIST OF FIGURES (continued) Figure 9. 10. 11. 12. 13. 14. ■ 15. Page Two-Way Interactions of the 1989 Biotic and Microsite Factors Affecting Delayed Emergence of Whitebark Pine: Predator Exclusion by Shade Level (A), and Sowing Depth (B) and Seedbed Condition by Sowing Depth (C)................. .......... 46 First-Year Mortality Counts of Whitebark Pine Seedlings by Cause Over Time 1988 (A) and 1989 (B)..................... 49 Survival of Whitebark Pine Seedlings Germinated From Buried and Surface SownSeeds..................... 51 Percent Moisture in Top 5 cm of Soil on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade in 1988................................. 55 Percent Moisture in Top 5 cm of Soil on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade in 1989....................... 56 Mean Minimum-Maximum Soil Temperatures at a Depth of 2.5 cm on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade Cover by Date for 1988........... 59 Mean Minimum-Maximum Soil Temperatures at a Depth of 2.5 cm on Mineral and Litter Seedbeds Under 0%, 25%, and 50% Shade Cover by Date for 1989..... ..... 60 xi ABSTRACT To culture a major high elevation tree, we need information on biotic and microsite factors affecting whitebark pine '(Pinus albicaulis) seed survival, emergence, and seedling establishment. s This thesis summarizes the results of the first 2 years of a' long-term field study designed to evaluate physical and biological factors affecting whitebark pine establishment and survival. Predator effects on seed survival were estimated by recording seedling emergence under four levels of predator exclusion (exclude birds and rodents, exclude rodents only, exclude birds only, and exclude no predators). Microsite effects were evaluated by recording seedling emergence on mineral, litter, and burned seedbeds, under shade cover (0%, 25%, and 50%), and for buried (5 cm) and surface-sown seeds. Rodents ate or removed all the surface-sown seeds and most of the buried seed they had access to. Birds took neither surface-sown nor buried whitebark pine seeds. Whitebark pine seeds with delayed germination, those that laid dormant over two winters, had higher emergence rates than seeds that germinated after only one winter stratification period. Emergence rates of buried seeds was significantly greater than for surface-sown seeds. Emergence of surface-sown seeds preceded buried seeds. First-year emergence on mineral soil was higher than on litter or burned seedbeds; however, there was no difference in numbers of second-year emergents among seedbed conditions. Shading improved emergence of both first- and second-year seeds. Insolation, drought, and rodents were the primary agents affecting survival of whitebark pine seedlings. Insolation mortality occurred in late June and early July of both measurement years. It was followed by drought mortality which ended in late August. Shade cover decreased insolation mortality and increased drought mortality. Drought mortality was higher than insolation mortality. Seedling losses due to animal damage were minimal and sporadic. More seedling mortality occurred during the winter than during the second growing season. If whitebark seeds are planted, seedling emergence including first-year and delayed emergents, may be highest on shaded mineral seedbeds. I CHAPTER I INTRODUCTION Whitebark pine (Finns albicaulis Engelm.) is a high elevation species which ranges from northern British Columbia to south-central California and from the Pacific coast range to the Wind River range in Wyoming (Critchfield and Little 1966). Whitebark pine communities comprise 10% to 15% of the forested landscape (1.2 million hectares) in the Rockies from western Wyoming to the Canadian border (Arno 1986). It forms only a minor component of forest communities which are commercially harvested, but is found in pure stands immediately below timberline. Pure stands may be either woodlands with widely spaced diffuse crowned trees or "krummholz" with a low flagged form (Arno and Weaver 1990). Whitebark pine is found, in a variety of habitats and grows with several tree species including subalpine fir (Abies lasiocarpa), Engelmann spruce (Picea engelmannii), and lodgepole pine (Pinrus contorta) in the Yellowstone ecosystem (McCaughey and Schmidt 1990; Pfister et al. 1977; Weaver and Dale 1974). Understory associates are listed by Forcella (1977), Pfister et al. (1977), and Weaver and Dale (1974). Vaccinium scoparium is the most LI 2 abundant understory species in pure or nearly pure stands of whitebark pine (McCaughey and Schmidt 1990; Weaver and Dale 1974) . Throughout its range whitebark pine is important for esthetics, watershed protection, wildlife food and cover (Eggers 1986; Kendall 1983), and ornamental planting. Whitebark pine stands provide cover for a variety of plants and animals in timberline and subtimberline zones (Arno and Hoff 1989). Its seeds are an important food source for grizzly (Ursus arctos horribilis) and black bear (Ursus americanus) (Craighead et al. 1982; Kendall 1983; Knight et al. 1987) and a supplemental food source for birds (Tomback 1982; VanderWall and Hutchins 1983) and other small animals (Hutchins and banner 1982; McCaughey and Schmidt 1990) . Whitebark pine is threatened by mountain pine beetle (Dendroctonus ponderosae), white pine blister rust (Cronartium ribicola), and fire suppression (Amman 1982; Arno 1986). Mountain pine beetle and white pine blister rust are direct killers of whitebark pine. Fire suppression reduces available habitat by allowing its replacement more competition-tolerant subalpine fir and Engelmann spruce. M 3 Management for .the survival of whitebark pine forests will require management of plant competitors, insects, disease, and the tree itself. For example: I. Wildfires or prescribed burns may be needed to maintain whitebark in areas where it is serai. 2. Stand conditions in lower lodgepole forests may be manipulated to reduce the effect of beetles on whitebark pine. This is because mountain pine beetle populations build to epidemic proportions in lodgepole forests and sweep up into high elevation whitebark stands (Arno and Hoff 1989) where they are unable to sustain themselves due to severe climatic conditions. 3. Exotic diseases, especially white pine blister rust, must be managed. 4. Where competition or disease mortality cannot be reduced, regeneration must be increased to compensate for losses. Studies of the regeneration process of whitebark pine will contribute to the long-term survival of the species by improving regeneration. Little is known about seed production (Kendall 1983; Weaver and Forcella 1986) or regeneration processes of whitebark pine under natural or artificial conditions (Eggers 1985). Weaver and Dale (1974) recorded whitebark pine regeneration rates in undisturbed climax communities of whitebark pine. While seedlings germinated in meadows, openings created by disturbances, and closed forests, those not occurring in openings (large or small) rarely produce cones (Weaver et Jl 4 al. 1990). The germination percent of seeds cached by the nutcracker is unknown but of seedlings germinating in nutcracker caches 56% survived the first year but only 25% survived the third year (Tomback 1982). Published information is sparse on later growth autecology of whitebark pine, including mechanisms of flowering and fruiting, cone production (Weaver and Forcella 1986), seed characteristics and dissemination (banner 1982; Tomback x 1982), vegetative reproduction, growth and morphology, rooting (Jacobs and Weaver 1990) , shade tolerance (Arno and Hoff 1989), longevity, and phenology. Whitebark pine has not been considered a timber production species because of its slow growth and generally poor form (Arno and Hoff 1989; Weaver et al. 1990). This study was designed to determine the effects of biotic and microsite factors on seed survival, germination emergence, and first year survival. The design includes treatments that are directly applicable to silvicultural practices. Five specific objectives of this study were to: I. Determine differences in seed loss due to bird and small mammal predators when seed are surface sown (simulating unusual but conceivable tree dispersal) and when seed are buried 2 to 4 cm in soil (simulating burial by Clark's nutcracker [Nucifraga Columbiana]). I r 5 2„ Compare seedling emergence and establishment from surface-sown seeds and seeds buried 2 to 4 cm in soil. 3. Compare seedling emergence and establishment on mineral, litter, and burned seedbeds. 4. Compare emergence and establishment under 0%, 25%, and 50% shade cover. 5. Record seedling survival rates across seedbeds and shade treatments. Compare between-year differences in emergence across seedbed and shade treatments. il 6 CHAPTER 2 METHODS Study Area. The experimental site was identified as an Abies lasiocarpa - Pinus albicaulis/Vaccinium scoparium habitat type (Pfister et al. 1977) occupied mainly by lodgepole pine. Most of the area appears to be on an inceptisol/ This soil has a 6 to 8 cm thick cambic "B" horizon between the A and and horizons. The soils on a small portion of the study area are were identified as Typic Cryorthent, sandy skeletal being well drained (Soil Survey Staff 1975). This soil has a 12 cm thick "A" horizon overlying C^ and C^ horizons. 5 cm thick "0" horizon. 5.5. Both soil types have a 3 to Soil pH values range from 4.7 to The elevation is 2,652 m MSL with 0% to 25% slopes and a northeast aspect. The study area is located in section 14, township 9 south, range 9 east on the Gardiner Ranger District of the Gallatin National Forest. It is north of Yellowstone National Park (Figure I), and near the southwestern corner of the Absaroka Beartooth Wilderness approximately 8.8 air kilometers east of Gardiner, MT. 7 MONTANA Gardln S t u d y Site t Yellowstone - — I National Park IDAHO WYOMING Figure I. Study site location. Gallatin National Forest. Section 14, township 9 S , range 9 E , Montana Principal Meridian. Study plots were established on a 6 hectare clearcut which is connected on the east to a large clearcut (20 hectare) called the Palmer Coop timber sale. The entire area was harvested during the winter of 1985-1986. Approximately 305 to 358 m^/ha of timber were harvested with 22 to 33 metric tons/ha of slash left on the site. The species and volumes harvested were: live lodgepole pine - 75%, dead lodgepole - 13%, Engelmann spruce - 4%, subalpine fir - 4%, and whitebark pine - 4%. The study area is bordered by a mature forest of similar composition on the south and west, and a forest with 20% whitebark pine to the north. 8 Study Design A factorial experiment (Table I) was used to determine the effects of seed predators, light levels, seedbed conditions, and seed sowing depths on the germination and early survival of whitebark pine. Three subsites (replicates) were subjectively chosen within the 6 ha clearcut as representative, similar, and suitable for plot establishment. The subsites had minimal amounts of logging slash, large areas of undisturbed litter, and reasonably represented the overall stand conditions. Figure 2 is a schematic diagram of one replication of each predator exclusion - shade cover - seedbed condition sowing depth combination. Plots were randomly located in each replicate. Treatment Descriptions Predator Exclusion Four treatments were used to evaluate predation effects on whitebark pine seed: exclude birds and rodents, exclude rodents only, exclude birds only, and exclude none. Wire screen was used to exclude seed predators from the plots while plots exposed to all predators were un-screened. Plots protecting seeds from all predators were completely covered using hardware cloth with 0.63 cm 9 Table Ii Ti Factors and factor levels. Factor Predator exclusion a. Exclude birds and rodents (EA) b. Exclude rodents only (ER) c . Exclude birds only (EB) d. Exclude none (EN) ~ Levels 4 2. Shade level a . No shade b. 25 percent shade c . 50 percent shade 3 3. Seedbed condition a. Mineral (1988 analysis) b. Litter (1988 analysis). c . Burned (1989 analysis)1 3 4. Sowing depth a. Surface-sown b. Seed buried ( 2 - 4 cm) 2 5. Replication 3 I First year results did not include a burned seedbed treatment. square holes. Plots for protecting seed from birds only were covered by screen with 5 by 7.6 cm wide holes. Plots excluding rodents only were enclosed by a 76 cm high fence of 0.63 cm square mesh hardware cloth. The rodent fence was designed to exclude rodents but allow access to avian predators. The top of the fence had a 20 cm lip, bent outward from the plot. A 15 cm piece of tin flashing was attached to the underside of the lip to effectively exclude rodents. The bottom of screens were buried 10 to 15 cm deep on plots excluding both birds and rodents and plots excluding rodents only. The bottom edge of the buried screen had a 5 cm lip bent outward from the plot to minimize the chance of rodents tunneling under the screen. Screening techniques for the control of seed predation were suggested by Curt Halverson, U.S. Fish and Wildlife Service, Fort Collins, CO. Shade Three shade treatments were used; no shade, 25%, and 50% shade cover. slatted roofs. Shade treatments were imposed with Four 1.8 m tall steel posts were installed at the corners of an imaginary 1.2 by 2.4 m rectangle overtopping but slightly to the south of each plot to be shaded. A 1.2 by 2.4 m long wood frame was constructed with 5 by 10 cm lumber and attached to the steel posts 100 cm above the ground. A 1.2 x 2.4 m section of wood snow fence was suspended on the wood frame. The 50% and 25% shade levels were simulated by either leaving all the wood slats in the snow fence or by removing alternate slats respectively. Seedbed Mineral, litter and burned seedbed treatments were used to examine emergence and survival of whitebark pine. Mineral seedbed treatments were located on scarified skid trails or hand scalped (top 2 to 5 cm of soil) when I 11 logging scarified areas did not occur on a mineral treatment location. Litter treatments consisted of areas undisturbed by logging. Prescribed broadcast burns created the burn seedbed conditions. 2 Because burning was done in confined (15 m ) areas of the clearcut, burned treatment plots were randomly located within a burned area adjacent to the mineral and litter seedbed plots for that replicate. The burn treatment areas were burned twice in 1987 because high moisture content of litter and other fine fuels created poor burning conditions. The completed treatment resembled scattered spots of a light surface fire even after two burns. Because burning was not completed until late fall of 1987, no plots were seeded until the fall of 1988. Sowing Depth Two sowing depth treatments were used; surface-sown and buried. Surface-sown seed were placed on the ground surface and buried seed were buried 2-4 cm below the surface level and covered.by the appropriate seedbed material (i.e ., covered by mineral soil, litter, or ash). Plot and Seed Layout Within each subsite, 36 plots were established to represent all combinations of the four predator exclusion, three shade, three seedbed, and two sowing depth treatments (Figure 2). Plots were rectangular (0.5 x 2.0 m) and 12 SHADE COVER Mineral Litter Burned m qei I Replication Figure 2. Schematic layout of study design showing all the treatment combinations in one of three replications. In the field, treatment combinations were located randomly. Predator treatments were exclude birds and rodents (EA), exclude rodents only (ER), exclude birds only. (EB), and exclude none (EN). oriented the long direction north-south. The south half (0.5 x 1.0 m) of each plot was seeded in the fall of 1987 and the north half was seeded in the fall of 1988. In 1987, the south half of each plot was subdivided into 40 subplots measuring 10 by 11 cm (Figure 3). Within each subplot two seeds were planted, one surface-sown and one buried. The surface-sown seed were placed in the north half of each subplot. The buried seed were placed in the south half of each subplot. In 1988, the north half of each plot was subdivided into two halves, a surface-sown half (north) and a buried half (south), each measuring 49 by 100 cm (Figure 3). seed sowing design was modified to reduce measurement The 13 I 1987 Buried Seed Figure 3. 1988 I * Surface- Sown Seed Schematic layout of 1987 and 1988 surface and buried seed locations. errors since surface-sown seeds were occasionally moved short distances due to natural factors such as wind, rain, and snow and this sometimes made identification of sowing depth type difficult. The surface and buried halves were further subdivided into 48 subplots with each subplot measuring 6 x 8 cm. On the surface half, 50 seeds were sown, one placed on the ground in each of 46 subplots and two seeds in 2 subplots. On the buried half, 50 seeds were placed 2 to 4 cm below the surface level in 46 subplots and two seeds in 2 subplots. Again, the buried seed were covered by the appropriate seedbed material (mineral soil, litter, or burned litter). 1 --------- 1 1 I' ' ' I _ I. I I ' Il Il 14 Exactly 5,760 whitebark pine seeds were planted in 1987 and 10,800 in 1988. The addition of the burned seedbed condition and an increase from 40 to 50 seeds accounted for the increased seed numbers in 1988. All seeds were x-rayed and only filled seeds were planted. X-rays do not reduce the germinative capacity or initial seedling growth of conifer seeds, however, it is unknown if there are long-term growth effects (Borzan 1973). Seeds planted in 1987 were collected (seedlot I) in 1985 and stored in sealed plastic bags (relative humidity = 6% to 8% inside bag) for two years under standard external conditions (temperatures = -17 to -20°C; humidity = 30%) until planting. Seeds were collected (seedlot 2) in the fall of 1987 and stored under the same conditions as seedlot I until planting in 1988. Measurements Whitebark pine seedlings were counted periodically throughout spring and summer on all plots. on June 16 in 1988 and June 9 in 1989. Counting began I could not determine exactly when germination occurred since half the whitebark seeds were buried and continuous monitoring of surface-sown seed was prohibitive. Emergence and emergents are used to describe germination and to quantify .resultant seedlings, respectively. Emergents were counted and numbers recorded weekly until the first of August and W I 15 bimonthly from August to the first of October. Emergents were marked with colored plastic toothpicks of different colors to record the emergence week. The week of mortality and its likely cause was recorded for all dead seedlings. Soil moisture was measured gravimetrically in 1988 and 1989 on 6 of the 24 germination plots at each of the three replicates. These six plots comprised one plot from each combination of mineral and litter seedbed and 0%, 25%, and 50% shade cover. Soil from the upper 5 cm of the A horizon was collected in soil cans and sealed for transport from the field to the laboratory. Percent soil moisture was determined by comparing wet and dry weights (Soil Survey Staff 1975) . Soil moisture was never measured on burned seedbeds due to the limited burned treatment area available. Subsurface soil temperatures were measured in 1988 and 1989 with Taylor minimum-maximum thermometers at the same seedbed-shade plots where soil moisture collections were taken on replicates I and 3. Soil temperatures in replicate 2 were measured with temperature probes connected to electronic microprocessors designed for continuous collection of environmental conditions. Problems with temperature probes caused sporadic and sometimes unreliable data. Minimum and maximum soil temperatures were measured 16 at a soil depth of 2.5 cm (the level where seeds were buried). Temperatures were measured and recorded weekly throughout the 1988 and 1989 summers. Maximum surface temperatures were measured weekly in 1988 and 1989 with wax (Big.Three Industries-tempiI) pellets which melt at specific temperatures. Tempils used for this study were designed to melt at 37.7, 41.1, 45.0, 51.7, 58.9, 65.6, 72;8, 79.4, 86.7, and 93.3 degrees Celsius. Tempils were placed on one of the mineral and litter seedbeds on each of the 0%, 25%, and 50% shade plots for a total of six plots on each replicate. Data Analysis The whitebark emergents/seed planted ratio on each subplot was used as the dependent variable for analysis of emergence differences between years, predator exclusion levels, shade levels, seedbed conditions, sowing depth, and factor interactions. Proportion of emergence is defined as the number of emergents divided by the number of seeds sown (40 in 1988, 50 in 1989). Empty plots were counted as l/4n to .prevent distortion of the analysis by small numbers (Mosteller and Youtz 1961) . A transformation, arc sine of the square root of the proportion of germination, was used to stabilize variation due to proportions (Snedecor and Cochran 1980) . 17 The statistical analysis system (SAS 1987) was used to analyze whitebark pine emergence and seedling survival data. Analysis of variance was used to test.for statistical significance of main factors and interactions on seedling emergence and survival. ANOVA was also used for evaluation of soil moisture and temperature data. The "F" statistic was used to determine the significance of factors and their interactions on emergence of whitebark pine. Multiple comparison procedures were used to analyze differences between factor levels. I used the Ryan-Einot- Gabriel-Welsch multiple F test for equal cell sizes and the Tukey-Kramer method for unequal cell sizes (SAS 1987) . All significance tests were done at the "p<0.1" level. I chose this high p-value level for two reasons: (I) regeneration data typically has a high degree of variation and (2) p-values between 0.05 and 0.1 indicate a 'strong relationship that might otherwise be overlooked. Predation on whitebark pine seed was analyzed separately from microsite factors affecting whitebark germination. Seed predation was assessed using results from all four exclusion treatments (BA, ER, EB, and EN). The EA and ER treatments were used in analysis of variance to assess whitebark emergence and survival differences among shade levels, seedbed conditions, and sowing depths. 18 The fact that no seed were lost to predators in these treatments fully eliminated predation effects and allowed direct comparisons to be made. 19 CHAPTER 3 RESULTS AND DISCUSSION Seed Predation Birds and rodents were the principal potential predators on whitebark seed considered in this study. The Clark's nutcracker, the major bird species consuming whitebark seed, harvests directly from cones (Hutchins and banner 1982). In other studies chipmunks (Eutamia spp.), deer mice (Peromyscus maniculatus), and golden-mantled ground squirrels (Spermophilus lateralis) were the principal rodent consumers (Hutchins and banner 1982; banner 1980; Tomback 1981). I considered insects a minor predator and saw none feeding on or removing whitebark pine seed. Surface-Sown Seed In 1987 and 1988, animals removed 100% of surface-sown seeds on exclude birds only (EB) and exclude none (EN) treatments within 5 days after sowing. No seeds were removed from exclude birds and rodents (EA) and exclude rodents only (ER) treatments, indicating that birds were not randomly searching for whitebark pine seeds and these screening methods effectively excluded rodents. Hutchins 20 (1989) believes that random foraging by Clark's nutcrackers is highly unlikely since their foraging efforts appear to be directed toward finding their own seed caches. The exclosures and shade cover may have discouraged seed foraging by birds; however, birds, including the Clark's nutcracker, were observed sitting on exclosures of both ER treatments and shade structures. No birds were seen foraging for seeds on or in the vicinity of any plots. Birds were observed caching seeds on the study site in 1987 and 1989. It is assumed that surface-sown seeds on EB and EN treatments were eaten or removed by rodents while bird predation was, at most, minimal. In 1988 and 1989 eight rodent species were trapped on the study area. Deer mice represented 54% and southern red-backed voles 23% of all species caught (Table 2). Squirrels (Tamiasciurus hudsonicus) clipped whitebark cones in the adjacent forest but I saw none foraging for seeds on the study area. Because of their high frequency of occurrence and known use of whitebark seeds, deer mice are probably the main consumers of whitebark seed on this area. Buried Seed Animal predation on whitebark pine seeds buried in exclude birds only (EB) and exclude none (EN) plots was shown by depressions on mineral soil and litter seedbeds, in 1988 and on all seedbed treatments in 1989. There was 21 Table 2. Species list of rodents trapped on whitebark pine study area in 1987 and 1988. Percent represents the proportion of total sample size (n=47). Species _____________ ________ _____________________ Percent Deer mouse (Peromyscus maniculatus 54 Southern red-backed vole (Clethrionomys gapperi) 23 Masked shrew (Sorex cinereus) 4• Montane shrew (Sorex monticolus) 2 Montane vole (Microtus montanus) 2 Long-tailed vole (Microtus longicaudus) 9 Heather vole (Phenacomys intermedius) 2 Yellow-pine chipmunk (tamias amoenus 4 no evidence of disturbance at buried seed locations on exclude rodents only treatments; therefore, it is assumed that there was no seed predation of buried seeds by birds. Seeds were untouched on exclude birds and rodents treatments, indicating that rodent and bird predation was eliminated by screening. Pocket gopher (Thomomys tolpoides) activity was noted in all predation treatments in 1989; surface-sown seeds were not disturbed (except by burial with soil brought to the surface) and I have no evidence of disturbance of buried seed. Rodents foraged for but did not find all available buried seeds. Emergence from buried seeds occurred on exclude birds only treatments with seeds accessible to rodents even though all the planting sites were disturbed. Loss of buried whitebark seeds may have been higher on predation treatments than under natural bird-cached conditions because surface-sown seeds attracted rodents. Tc test the hypothesis that surface-sown seeds acted as an 22 attractant, 100 seeds each on mineral and litter were singly buried on sites accessible to rodents. Five areas of 20 seeds each were laid oiit for each seedbed condition with seeds buried 2 to 4 cm deep in a I dm by I dm grid / pattern. Seed disturbance was 24% on mineral and 40% on litter seedbed. Since disturbance was observed on 100% of the buried seed locations in the predator exclusion treatments allowing access to rodents (EB and EN), it appears that surface-sown seeds did act as a rodent attractant. Seeds that germinated on the exclude birds only and exclude none treatments were buried seeds that rodents looked for but did not find. There was no significant difference in percent emergence of whitebark seedlings between exclude birds only and exclude none treatments within a year (Table 3). There were, however, significant (p=0.056) between year differences in the exclude birds only and exclude none treatments. Significant differences between years for percent emergence could have been due to differences in viability between seedlots, predator populations, or climatic factors. 23 Table 3. Emergency of whitebark pine for exclude birds only and'exclude none treatments in 1988 and 1989. Treatment Exclude birds only Year Exclude none 1988 2.1 a 2.5 a 1989 3.6 a 3.5 a - Percent germination within year, sharing a common letter are not significantly different (p-value<0.I). Viability was 95% and 97% respectively for seed planted in 1987 and 1988; thus the probability that emergence differences were due to different seedlots was low. Seeds were x-rayed to ensure that only filled seeds were planted. It is also unlikely that year to year differences were due to rodent effects. Rodent populations did not appear to vary enough to suggest that they caused between-year emergence differences. Rodent catches were 19 in October of 1987, and 16 in July and 11 in September of 1988. Precipitation was probably responsible for the between-year differences in seedling emergence. The study site was clear of snow and soils were at field capacity immediately after the first week of June in both measurement years. Emergence was noted from mid-June 24 through the first of September in both years. Precipitation records for two Soil Conservation Service weather stations,- Mill Creek to the north and Canyon to the southeast of the study area were obtained to,examine area wide moisture patterns (Tables 12 and 13, Appendix). The weather stations demonstrated dry conditions (26% and 17% of normal), in 1988, and near normal (79% and 72% of normal), in 1989, for the months of June through August. The three to four fold difference in precipitation between 1988 and 1989 was distributed evenly throughout the spring and summer months. Emergence There was no predation of surface sown or buried whitebark pine seeds on exclude birds and rodents and exclude rodents only treatments. These treatments thus provide an estimate of maximum emergence under field conditions. Analysis of variance was used to evaluate the effects of biotic and microsite factors on whitebark pine emergence. Years Analysis of variance showed that emergence varied significantly between planting years (Table 4). Therefore, analysis of biotic and microsite factor affects on emergence and survival of whitebark pine was conducted 25 Table 4. Effect of year and biotic and microsite factors on emergence of whitebark pine. An ANOVA. Emergence was measured as a proportion and transformed to the arc sine of the square root of the proportion (Snedecor and Cochran 1980). Factor Year (1988-1989) Predator exclusion Shade cover Seedbed condition Sowing depth Error Total df I I 2 2 I 172 179 within individual years. SS MS 1.3381 0.1094 0.0881 0.4831 5.6318 2.8586 10.5091 1.3381 0.1094 0.0440 0.2415 5.6318 0.0166 F 80.52 6.58 2.65 14.53 338.86 P .0001 .0112 .0735 .0001 .0001 Between-year differences in emergence were attributed to precipitation differences (Tables 12 and 13, Appendix). Seedbed and sowing depth significantly affected total summer emergence in both years, while predator exclusion was significant in 1988 only, and shade was significant in 1989 only. (Tables 5 and 6). Significant differences in emergence among replicates occurred in both measurement years. Significance of all factors varied by measurement date as the summer progressed. Tables 14 and 15 (Appendix) show the 1988 and 1989 analysis of variance results for biotic and microsite factors and two-way interactions as the cumulative percent emergence of whitebark pine for each recording date. Significance of all factors and interactions increased as germination progressed through the summer months. 26 Table 5. Effect- of biotic and microsite factors and their interactions on 1988 emergence of whitebark pine: An ANOVA. Emergence was measured as a proportion and transformed to the arc sine of the square root of the proportion (Snedecor and Cochran 1980). Factor df SS Replicate Predator exclusion Shade cover Seedbed condition Sowing depth Pred x Shade Pred x Seed Pred x Sow Shade x Seed Error Total 2 I 2 I 2 2 I I 2 58 71 0.2975 0.1648 0.0237 0.0692 0.7385 0.0330 0.0335 0.0530 0.0509 0.4824 1.9466 Table 6. ' MS 0.0487 0.1648 0.0119 0.0692 0.7385 0.0165 0.0335 0.0530 0.0254 0.0083 F P 17.88 19.81 1.43 8.32 88.79 1.99 4.03 6.37 3.06 .0001 .0001 .2483 .0055 .0001 .1466 .0494 .0144 .0544 Effect of biotic and microsite factors and their interactions on 1989 emergence of whitebark pine: AN ANOVA. Emergence was measured as a proportion and transformed to the arc sine of the square root of the proportion (Snedecor and Cochran 1980). Factor Replicate Predator exclusion Shade cover Seedbed condition Sowing depth Pred x Shade Pred x Seed Seed x Sow Error Total df 2 I 2 2 I 2 2 2 93 107 SS 0.0472 0.0091 0.0895 0.4718 5.5792 0.0327 0.0553 0.1221 0.8175 7.2244 MS 0.0236 0.0091 0.0447 0.2359 5.5792 0.0163 0.0276 0.0611 0.0088 F 2.68 1.04 5.09 26.84 634.73 1.86 3.14 6.95 P .0736 .3110 .0080 .0001 .0001 .1618 .0477 .0015 27 Total numbers of whitebark emergents varied significantly between years but the emergence curves were similarly shaped (Figure 4). SurfaCe-sown seed apparently germinated about I week before buried seeds in both years (Figure 4). While seeds buried 2 to 4 cm may have germinated (when radicle first extends through the seed coat) at the same time as surface-sown seed, germination could not be recorded until emergence occurred. There was no germination after the first of July for surface-sown seeds; perhaps surface conditions were too dry to allow germination or all nondormant seeds had germinated by then. After July emergence from buried seeds was significantly higher than from surface-sown seeds in both years (Figure 4). Emergence from buried seeds was rapid before the first of August and sparse thereafter. Predator Exclusion Whitebark pine emergence differed significantly between the exclude birds and rodents (EA) and exclude rodents (ER) only treatments in 1988 but not in 1989 (Tables 5 and 6). Emergence differences were attributed to screen design differences and not bird predation since no seeds were removed from the pests. The percent emergence was 9.5% for EA and 3.8%-for ER treatments in 1988 (Table 7). The higher emergence rate in the EA treatment is attributed to the milder plot microclimate of CUMULATIVE NUMBER OF EMERGENTS 900 - 800 - 700 - 600 - 500 - 400 - Buried, moist 1989 300 200 Buried, - Surface-sown, 100 - dry 1988 moist 1989 S u r f a ce^ s own. dry 1988 AUGUST Figure 4. SEPTEMBER OCTOBER Cumulative number of whitebark pine emergents from buried and surface sown seeds in 2 years. 29 Table .7. Percent emergence of whitebark pine as affected by predator exclusion, shade cover, seedbed condition, sowing depth, and replicate on treatments excluding rodents and birds (EA) and excluding rodents only (ER) for 1988 and 1989 first-year and 1989 delayed emergents from the 1987 sowing. Values are not cumulative over years. Predator exclusion EA ER First--year 1989 1988 mean mean I / - percent 9.5 (a)-' 19.3 ( C ) 17.9 (c) 3.8 (b) Shade cover (percent) 0 25 50 5.2 (a) 7.9 (a) 6.8 (a) 16.7 ( C ) 18.8 (cd) 20.4 (d) 21.. 3 (e) 28.6 (f) 27.2 (f) Seedbed condition Mineral Litter Burned 8.2 (a) 5.1 (b) — 26.0 (c) 14.5 (d) 15.3 (d) 24.9 (e) 26.5 (e) Sowing depth Surface Buried 1.8 (a) 11.5 (b) 3.5 ( C ) 33.7 (d) 6.0 (e) 45.4 (f) 7.9 (a) 9.5 (a) 2.5 (b) 19.3 (c) 20.2 (c) 16.4 (d.) 20.8 (e) 29.4 (f) 26.9 (f) Factor Factor level Replicate I 2 3 Delayed 1989 mean 20.9 (e) 30.5 (f) I /Similar and dissimilar letters in parentheses within a column for a factor represent nonsignificant and significant differences respectively. the EA treatment. The EA treatment has hardware cloth, with 0.63 cm-square holes, about 4 inches above the ground level and totally enclosing the plot. The metal cloth may have provided extra shade, reduced daytime temperatures, and increased night temperatures. Screening method slightly increased emergence of whitebark pine in moist 1989 (Table 6). I attribute the between-year difference to the increased summer rains in Jl 30 1989 (Tables 12 and 13, Appendix): emergence was enhanced by screening affects (cooling or reducing evaporation) provided by the exclude birds and rodents, treatments in dry years. Screening effects disappeared in 1989, when moisture was not as limiting throughout the growing season, as it was in 1988. Shade Cover In 1989 when water was less limiting, shade significantly (p=0.008) affected emergence (Table 6). Percent emergence of whitebark pine in 1989 was significantly higher (20.4%), under 50% shade than with no shade (16.7%) (Table 7). The 25% shade treatment was intermediate (18.8) in percent emergence and did not significantly differ from 0% or 50% shade cover. Surprisingly shade did not significantly improve emergence of whitebark pine seed in dry 1988 (p= 0.2483) (Table 6). The 1988 emergence of whitebark pine appeared higher for shaded than nonshaded treatments, ranging from 7.9%, 6.8%, to 5.2% emergence with 25%, 50%, and 0% shade cover, respectively (Table 7). The snow fence slats caused alternate strips of shade and full sunlight. Dead shade may not have been enough to override the effect of drought on emergence in a dry year, even under 50% shade. I 31 Seedbed Condition Seedbed condition significantly affected whitebark . pine germination in both ybars (Tables- 5 and 6) . Emergence of whitebark pine was significantly higher on mineral seedbeds than on litter, or burned seedbeds in both years. There was no burned seedbed treatment in 1988. Most conifers germinate best on mineral seedbeds (Schmidt and Lotan 1980; Seidel 1979; Zasada et al. 1978). The exposure of soil is expected to eliminate competing vegetation, and provide more light, moisture, and nutrients . for seedling growth (Schmidt et al. 1976). Although no quantitative measures of competing vegetation were taken, reduction of competition may have been one of the primary reasons for better whitebark emergence on mineral seedbeds. Moisture may have been the factor limiting emergence on litter seedbeds on these high elevation sites. Soil moisture was consistently higher on litter than mineral seedbeds except in the fall (a season of low mortality (Figure 5). A significantly higher percent of whitebark germinants emerged on mineral (26.0) than on litter (14.5) or burned (15.3) seedbeds in 1989 (Table 7). I expected emergence on the burned seedbeds to be as high as on mineral soil due to the nutrient flush following burning and the reduction in competing vegetation. My burn treatments may have been too light.to fully provide these benefits. 1988 OX Shade Cover SOIL WATER (X) ♦-- * LITTEH •-- • MINERAL AUGUST ♦— ♦ LITTER •--- • MINERAL Figure 5. 1988 50% Shade Cover ♦---* LITTER •---• MINERAL AUGUST1 SEPT 1989 0% Shade Cover AUGUST 1988 25% Shade Cover AUGUST1 SEPT 1989 25% Shade Cover ♦ • *--- - LITTER ----• MINERAL 1989 50% Shade Cover ------- ------- LITTER ------- • MINERAL ♦ • OJ to ------- ------- LITTER ------- • MINERAL AUGUST Soil water in top 5 cm of soil on mineral and litter seedbeds under 0%, 25% and 50% shade cover in 2 years. 33 Emergence on burned seedbeds in subalpine forests is usually comparable to that on litter initially, it increases rapidly with time, and eventually surpasses emergence on mineral (scarified) seedbeds (Fiedler 1980). Emergence of whitebark on my burned treatments may eventually equal that on mineral seedbeds. Light burning intensities do not have as severe effects on organic matter and soil properties as more intense burns. Hot fires consume most of the organic material, alter soil structure, and create unfavorable conditions for seedling growth (Vogl and Ryder 1969). Hot fires also volatilize nitrogen and result in loss of other nutrients in fly ash (Perry 1979). Sowing Depth Even in the absence of predation (EB and ER; discussed above) deep sowing significantly improved emergence of whitebark pine in both measurement years (Tables 5 and 6). Emergence of buried seed was 11.5% and 33.7% compared to 1.8% and 3.5% for surface-sown seed in 1988 and 1989 respectively (Table 7). As previously discussed emergence was significantly lower in dry 1988 for both buried and surface-sown seeds. The Clark's nutcracker caches whitebark pine seed at a depth of 2 to 4 cm on ground surfaces ranging from mineral, to litter, and gravel (banner 1980). Some ( i) IL 34 factors which may reduce surface germination are lower water availability and more exposure to solar radiation (Gorski and Gorska 1979) . Replicate Whitebark pine emergence was significantly less in replicate 3 than in replicates I or 2 in both 1988 and 1989. Percent emergence for each replicate was 7.9 and 19.3 for replicate I, 9.5 and 20.2 for replicate 2, and 2.5 and 16.4 for replicate 3 for 1988 and 1989 respectively (Table 7). The within-year difference may be attributable to soil differences in the study area. Soils were usually drier in replicate 3 than in replicates I and 2 during the early summer when emergence was greatest (Figure 6). The soil on replicate 3 was identified as a Typic Cryorthent, sandy skeletal with a 6-inch A horizon containing 54% sand over a C horizon of 60% sand. Soils on the other replicates had a narrow 4 to 6 cm thick cambic B horizon between the A and C horizons which classified them as inceptisols. The deficiency of moisture likely limiting the emergence of whitebark pine on replicate 3 is probably due to the high sand content of the soil profile and the shallow A horizon. The A and B horizons on replicates I and 2 had less sand and more ■ silts and clays according to hand textural analysis. 50 1988 ■< +• 40 - ■ REPLICATE I * REPLICATE 2 30 - 20 SOIL WATER (%) - 10- O JUNE I JULY I AUGUST I SEPTEMBER I OCTOBER REPLICATE I REPLICATE 2 REPLICATE 3 Ground Frozen After Mid-Sept. AUGUST Figure 6. I SEPTEMBER 1 OCTOBER Percent moisture in top 5 cm of mineral soil by replicate for 1988 and 1989. 36 Soils on replicates I and 2 would have, a higher water-holding capacity than on the sandy soils of replicate 3. Interactions Four two-factor interactions of biotic and microsite factors in 1988 and three two-way interactions in 1989 appeared to affect whitebark pine emergence (Tables 5 and 6). No three-way or higher interactions were significant. 1988 Interactions. The 1988 interactions and their significance on emergence of whitebark were: predator exclusion by percent shade cover (A) (p=.1466), seedbed condition (B) (p=.0494), and sowing depth (C) (p=.0144), and percent shade cover by seedbed condition (D) (p=.0544) (Table 5). The interaction of predator exclusion by percent shade cover showed relative differences in mean percent emergence between the 0 (6.3%), 25 (12.1%), and 50 (9.4%) percent shade cover on the exclude birds and rodents (BA) treatment (Figure 7A). A p-value of .1466 is not considered significant at the p<0.I level but is low enough to indicate that a relationship may exist. There was no difference in mean percent emergence between the three shade levels on the exclude rodents only (ER) treatment. Shade level CZ=IOX EZZl 25% CZZ 50% L U 10 PREDATOR EXCLUSION I-- 1Surface-sown PREDATOR EXCLUSION I Z - J Mineral EZlLitter 25 PREDATOR EXCLUSION Figure 7. PERCENT SHADE COVER Two-factor interactions of the 1988 biotic and microsite factors affecting whitebark pine emergence: predator exclusion by shade level (A), seedbed condition (B), sowing depth (C), and percent shade cover by seedbed (D). 38 Emergence increased considerably when plots were shaded by the EA screen exclosures and shade covers. The change in total numbers may be caused by microclimate differences between predator exclusion treatments due to effects of metal screen exclosures. The interaction of predator exclusion by seedbed condition showed differences in mean percent emergence of whitebark pine between mineral and litter seedbed under the EA treatment (Figure 7B). The emergence differences ameliorated with the ER treatment. I attribute seedbed treatment differences to microclimate modification from the screening on exclude birds and rodents treatments. Emergence of buried whitebark seed was greater than surface sown seed and this difference was much larger on EA than on ER treatments (Figure 1C). Emergence differences between predation treatments may again be caused by microclimate effects on EA treatments. While shading did not (p=0.2483) benefit whitebark pine emergence overall, it did affect it on mineral seedbeds (Figure 7D). Emergence of whitebark on litter seedbeds remained constant under the three shade levels while emergence on mineral seedbeds increased considerably under 25% but only slightly under 50% shade over nonshaded conditions. Emergence between seedbeds was not different on nonshaded conditions but was higher on mineral than on litter under 25% and 50%. Because shading had a negative 39 effect on soil moisture in the top 5 cm of soil (Figure 5) I tentatively attribute its positive effects on emergence to reduction of surface temperature on mineral soils„ 1989 Interactions. The three two-factor interactions affecting 1989 emergence of whitebark pine are predator exclusion by shade cover (A) (p=0.1618) and seedbed condition (B) (p=0.0477) and seedbed condition by sowing depth (C) (p=0.0015) (Figure 8). Similar to 1988, there were differences between the three shade levels on exclude birds and rodents but not on exclude rodents only treatments (Figure BA). Explanations were previously provided for the same 1988 interaction for between- and within-treatment differences. The interaction of predator exclusion by seedbed condition was significant in both years. In 1989, however, a burned seedbed treatment was added. Again there was a high mean difference in the within-treatment emergence of whitebark pine between mineral and litter on exclude birds and rodents (EA) treatments in 1989 (Figure SB). Increased precipitation is probably why emergence was. higher on mineral seedbeds on both EA and ER treatments in 1989. Although there was no significant effect of seedbed in 1988, emergence differences due to seedbed preparation increased slightly on the exclude rodents only (ER) treatments in 1989 (Figures 7B and SB). Whitebark emergence on burned and litter treatments remained low in MEAN PERCENT EMERGENCE LU U PREDATOR EXCLUSION 28 24 □ Mineral EBLitter C Z 2 Burn 20 16 12 8 4- 0 PREDATOR EXCLUSION Figure 8. Two-factor interactions of the 1989 biotic and microsite factors affecting whitebark emergence: predator exclusion by shade level (A), seedbed condition (B), and seedbed condition by sowing depth (C). 41 1989 on both EA and ER treatments. There was no difference in emergence between predation treatments in 1989 when precipitation was near normal and evenly distributed throughout the growing season. Seedbed condition by sowing depth was a significant interaction of emergence of whitebark pine in 1989. Seedbed condition significantly affected emergence of buried whitebark seeds and had no affect on surface sown seeds. Buried whitebark seeds had higher emergence than did surface sown seeds on mineral, litter, and burned seedbeds (Figure SC). Germination of surface-sown seeds was less than 4% on mineral seedbeds, decreasing slightly from mineral to litter (2%) to burned seedbeds (1.5%). Emergence of buried seeds was 26% on mineral seedbeds and decreased to near 15% for seeds buried on litter and burned seedbeds. Delayed Emergence I call germination in the second or third year "delayed emergence". Here, delayed emergence is the ratio of 1989 emergents to the number of seeds that did not germinate in 1988. Plots seeded in 1987 were examined for emergence in 1988 and again in 1989 to measure whitebark pine delayed emergence. Germination of the European 42 equivalent of whitebark pine (Pinus cembra)(Critchfield and Little 1966) may be delayed until the second or even third year after dispersal (Krugman and Jenkinson 1974) More of the seeds sown in 1987 emerged in 1989 than in 1988 (Table 7). Of seeds sown in 1987 the 14.6% emergence in the second summer was significantly more than first-year emergence in 1988 (4.5%) and in 1989 (10.2%). The high dormancy rate of 1987 sown seeds in 1988 may have been due to drought enforcement. High delayed emergence of 1987 sown seed (higher in relative terms than first-year emergence in 1989) was observed under most main factor levels. The higher delayed emergence of whitebark over first-year emergence may be due to impermeable seed coat, the presence of physiological embryo dormancy (Pitel and Wang 1980), or a combination of these and other unknown factors. Physiological embryo dormancy is usually overcome by certain metabolic events resulting in decreased inhibitor and increased growth promoter content, increased energy charge, and derepression and activation of the genome and increased protein synthesis (Kahn 1977). study does not evaluate specific reasons for delayed emergence. This 43 Table 8. Effects of biotic and microsite factors and significant interactions on delayed emergence of whitebark pine: An ANOVA. Emergence was measured as a proportion and transformed to the arc sine of the square root of the proportion (Snedecor and Cochran 11)80).. Factor Replicate Predator exclusion Shade Seedbed condition Sowing depth Pred x Shade Pred x Sow Bed x Sow Error Total df 2 I 2 I I 2 I I . 60 71 SS 0.1054 0.1666 0.1439 0.0112 4.9561 0.1033 0.3514 0.4317 1.1043 7.3738 MS 0.0527 0.1666 0.0720 0.0112 4.9561 0.0517 0.3514 0.4317 0.0184 F 2.86 9.05 3.91 0.61 269.29 2.81 19.09 23.45 P .0650 .0038 .0253 .4380 .0001 .0683 .0001 .0001 Delayed whitebark emergence varied significantly between predator exclusion treatments, shade cover, sowing depth, and replicate (Table 8). Seedbed condition did not affect delayed emergence as it did first-year emergence in both 1988 and 1989. To determine the natural occurrence of this phenomena I looked for delayed emergence in the field. Seedling clusters on the study site were dug up and intact seeds were taken to the laboratory. X-ray analysis showed that 75% (12 seeds) of the intact non-germinated seeds had fully developed endosperms. The filled seeds were cold-moist stratified for 30 days (simulating a second year of natural stratification) and put in germination chambers under temperature and moisture conditions recommended by Jacobs and Weaver (1990) . Germination was 44 75% for the filled seeds. Rates of delayed whitebark germination appear to be higher than for first-year germination. Predator Exclusion Screen design significantly affected delayed germination and emergence as it affected first-year emergence in both 1988 and 1989. Delayed emergence on exclude rodents only treatments (30.5%) was significantly higher than on the exclude birds and rodents treatment (20.9%), the opposite of first-year emergence (Table 7). Delayed emergence rates for both predator treatments were expected to be similar to 1989 first-year emergence because of the moderating effect of higher 1989 precipitation. I can offer no reason why the effect of predator exclusion on emergence in 1988 was reversed for the 1989 delayed emergents. Shade Cover Whitebark emergence was significantly higher for shaded than nonshaded treatments for both delayed (Table 8) and first-year emergence in 1989 (Table 7). Increased precipitation in 1989 probably reduced the effect of summer drought on germination, enhancing the effect of shade. 45 Sowing Depth Delayed emergence was significantly higher than first-year emergence in both 1988 and 1989 (Table 8) for surface-sown and buried whitebark seeds. Delayed emergence of buried seeds was significantly higher (45.4%) than surface sown seeds (6%) (Table 7);. Replicate Replicate I had significantly less delayed emergence than replicates 2 and 3 (Table 7). While lower first-year emergence in replicate 3 may be explained by textural and soil horizon differences as previously described, I cannot explain why delayed emergence is lowest on replicate I. Interactions Three two-factor interactions of biotic and microsite factors affected delayed emergence of whitebark pine in 1989 (Table 8); predator exclusion by shade level (B) (p=0.0683) and sowing depth (B) (p=0.0001) and seedbed condition by sowing depth (C) (p=0.0001) (Figure 9). The number of delayed emergents was higher on ER than EA treatments for 0% and 25% shade cover and did not change between treatments for 50% shade cover (Figure 9A) . Higher delayed emergence on ER treatments was reversed from first-year emergence in 1988 when EA treatments had higher emergence for all three shade treatments. BO 50- MEAN PERCENT EMERGENCE 40 - Shade level CZ=IOX CZZESX CZZl50X A LU O 3020- 100- Figure 9. PREDATOR EXCLUSION <T\ Mineral LU Litter SEEDBED CONDITION Two-factor interactions of the 1989 biotic and microsite factors affecting delayed emergence of whitebark pine: predator exclusion by shade level (A), and sowing depth (B) and seedbed condition by sowing depth (C). 47 First-year emergence in 1989 was the same for 0% and 25% and decreased for 50% shade cover between EA and ER treatments. Precipitation could have caused the between-year differences in emergence but I do not know why 1989 emergence patterns for delayed and first-year emergents were different. Delayed emergence of whitebark varied significantly within predator exclusion treatment for both buried and surface-sown seeds and between exclusion treatments for buried seeds (Figure 9B). In 1988 first-year emergence was higher on EA treatments. Delayed emergence of buried seeds was significantly higher on ER than EA treatments because more seeds had enforced dormancy in 1988 on the ER treatment. Buried whitebark seeds had more delayed emergence than surface-sown seeds on mineral and litter seedbeds (Figure 9C). Delayed emergence was 10.2% and 39.7% on mineral and 1.9% and 51.3% on litter seedbeds for surface-sown and buried seeds respectively. Delayed emergence of surface-sown seeds was lower on litter than on mineral seedbeds but the relationship was reversed for buried seeds. The increase in delayed emergence for buried seeds and decrease in surface-sown seeds could be due to a measurement error. The 1987 surface-sown seeds were positioned close to buried seeds (Figure 3). and.summer rains moved and partially buried many Winter 48 surface-sown seeds. When seeds emerged it was difficult to distinguish if they had originally been a surface-sown or a buried seed. Sowing depth treatments were separated in 1988 to eliminate or reduce the overlapping of sowing types (Figure 3). It was impossible to stop the natural • burying of surface-sown seeds by snow, water, and winds. Mortality Whitebark pine emergence rates were high from mid-June through the end of July, slowed, and were nil in August (Figure 4). Mortality of first-year whitebark seedlings followed the same pattern with the highest mortality rates occurring when emergence was highest (Figure 10). rates decreased after the first of August. Both Through the first of August emergence was always greater than mortality so there was a net accumulation of surviving seedlings. Germinants continued to emerge from early August until the first of September but the total numbers of survivors remained constant because mortality rates equaled emergence rates. Mortality began near the end of June and continued at a low level until early September (Figure 10). causes of mortality were identified: Three (I) insolation (heat scorching of seedling stem at ground surface), (2) drought 49 50 1988 I * B a □ 40 INSOLATION DROUGHT ANIMAL 30 NUMBER OF DEATHS 20 10 . I 0 160 Figure 10. 167 174 188 41--PL 1 195 202 208 JUNE I JULIAN DATE JULY JUNE I JULIAN DATE JULY — 216 0— 1 230 243 254 292 I AUGUST I SEPT. I I AUGUST I SEPT. I First-year mortality of whitebark pine seedlings by cause over time. 50 (drying out of seedling), and (3) animal (burial, uprooting, or nipping). Fungi and insect caused mortality were never seen on whitebark seedlings. Insolation mortality of 1988 emergents began in late June when day lengths were the longest and ended by early August (Figure 10). Insolation mortality slowed during late July and ended around mid-August in 1988 and 1989. Drought mortality occurred later in the growing season than insolation— except in early July of 1989 when higher numbers of whitebark emergents died from drought than insolation (Figure 10B). Most of the first emergents dying from drought were surface germinated seeds. This was probably due to the fact that roots of surface-sown seeds have a greater distance to reach the more dependable water supplies of mineral soil. Drought mortality of seedlings germinated from buried whitebark seeds began around the third week in July and continued until the first of September. The only animal caused mortality observed was in 1989 when 11 seedlings were buried by soil brought to the surface by pocket gopher activity. There was no evidence of pocket gophers feeding on seeds or seedlings. Increased survival of buried seeds compared to surface-sown seeds was evident in both years and more so in moist 1989 than in dry 1988 (Figure'll). Only surface-sown seeds lying on favorable microsites germinated 51 Buried SURVIVAL (%) Surface-sown AUGUST I SEPTEMBER I OCTOBER Buried Surface-sown AUGUST Figure 11. SEPTEMBER ' OCTOBER Survival of whitebark pine seedlings germinated from buried and surface sown seeds. 52 Table 9. Mortality of 1988 and 1989 whitebark pine emergents. on mineral and litter seedbeds under 0%, 25%, and 50% shade. Mortality is the percent of emergents in each category that died. Year Percent shade Seedbed condition 1988 0 Mineral Litter 25 Mineral Litter 6 0 8 29 0 0 14 29 50 Mineral Litter 5 9 12 22 0 0 17 31 0 Mineral Litter Burned I 10 14 2 4 6 0 0 0 3 14 19 25 Mineral Litter Burned 3 2 6■ 5 2 4 0 0 0 8 4 10 50 Mineral Litter Burned I 0 0 4 17 7 6 0 0 11 17 7 Insolation Drought Animal Total - percent 33 11 0 44 23 6 • 0 29 eee 1989 p_ when moisture was limiting in 1988 and thus many survived. The high precipitation of 1989 resulted in a four-fold increase over 1988 in the number of emergents from surface-sown seed. Many surface-sown seeds germinated in 1989 because of increased precipitation, but because of unfavorable microsites most may have succumbed to drought. Shade helped reduce seedling mortality in 1988 but not in 1989 (Table 9). And shading influenced the type of mortality on mineral, litter, and burned seedbeds. Insolation mortality of seedlings was highest on seedbeds with no shade cover in 1988; shading of as little as 25% 53 Table 10. Maximum surface temperatures recorded on mineral, litter., and burned seedbeds under 0%, 25%, and 50% shade cover in 1988 and 1989. There was no burned treatment in 1988. Seedbed condition No. of obs. 1988 Mineral Litter 18 18 65 73 59 65 59, . 73-/ 1989 Mineral Litter Burned 27 27 27 59 73 79 52 65 65 52 65 73 Year y Percent shade cover 0 25 50 This high temperature was an anomaly because wax temperature pellets were exposed to the sun. decreased insolation mortality (Table 9). Insolation mortality on mineral seedbeds was higher than for litter seedbeds despite higher surface temperatures on litter (Table 10). In 1989, insolation mortality of whitebark pine seedlings was highest on burned (14), second highest on litter (10), and lowest on mineral seedbeds (I) in the absence of shade cover (Table 9). Shade reduced surface temperatures (Table 10) and decreased seedling mortality due to insolation. Insolation mortality averaged 8.3%, 3.6%, and 0.3% under 0%, 25%, and 50% shade respectively (Table 9). Drought mortality of whitebark pine seedlings was lowest on nonshaded plots in 1988. It was lower on both 0% and 25% shade covered plots in 1989 (Table 9). As shade increased drought mortality increased, perhaps IL ' 54 because shading reduced soil moisture under shade coverings by deflecting rain (Figures 12 and 13). This is consistent with the fact that nonshaded plots were moister than shaded plots during the mid-summer weeks when most drought mortality was occurring. No deflection of rain by shade covers may account for higher soil moisture values on open plots. On non-predation plots (BA and ER) at the end of the second growing season, 81% of the whitebark pine seedlings that had germinated and survived the first growing season were still alive. There were nearly five times more seedlings on BA and ER plots than on EB and EN plots; these seedlings were protected, however, from animal predation thus giving unnaturally low mortality results. A more realistic picture of natural mortality is obtained from EB and EN treatments allowing both the effects of climate and predation on seedlings. Mortality counts for whitebark pine seedlings were taken in the spring and fall of 1989. Nearly 58% of the seedlings survived the first winter on EB and EN treatments. There was no mortality on these treatments during the 1989 growing season. Of the overwinter mortality, the causes for whitebark seedling loss were: insolation - (0%), drought - (0%), animal - (6%), and unknown - (94%). One seedling was nipped by rodents and five were buried by 55 SOIL WATER (%) Mineral Soil •- - - - - ■ OX Shade +. . . . . + 25% Shade ♦ - o 50% Shade August Lit ter- C o v e r e d Soil August Figure 12. 1September 1 October ■- - - - - ■ OX Shade +.... + 25% Shade ♦---- ♦ 50% Shade 1September 1 October Percent moisture in top 5 cm of soil on mineral and litter seedbeds under 0%, 25%, and 50% shade in 1988. 56 SOIL WATER (%) Mineral Soil ■---- - OX Shade +. . . . + 25% Shade ♦- - - - ♦ 50% Shade August 50 .---- . 0% Shade +. . . . + 25% Shade ♦- - - - ♦ 50% Shade Litter-Covered Soil 40 V\ 30 20 10 0 June Figure 13. July * August I Sept. Percent moisture in top 5 cm of soil on mineral and litter seedbeds under 0%, 25%, and 50% shade in 1989. 57 pocket gophers„ Causes of winter mortality could not be determined because the area is covered by approximately 60 to 150 cm of snow. Subsurface Soil Temperatures Germination of seeds depends largely on soil temperature and moisture conditions (Fitter and Hay 1981). Germination of whitebark occurs between 10° and 40°C, has an optimum range for germination enhancement from 15° to 35 °C, and peaks at 35 °C (Jacobs and Weaver 1990) . Moisture is not a limiting factor in laboratory studies; however, when soil temperatures in the field reach 35°C, moisture probably becomes the factor limiting germination. Minimum subsurface temperatures were generally warmer with increased shade cover, indicating a moderating effect of treatment on soil temperature (Table 11). In general, mineral seedbeds generally had relatively low minimum temperatures and high maximum temperatures; litter mulch moderated soil temperature swings. Temperature variation between shade levels was high for maximum and low for minimum subsurface temperatures throughout the growing season (Figures'14 and 15). Maximum temperatures of around 38°C occurred near the first of August when soil moisture was approximately 50% of field capacity (Figures 12 and 13). 58 Table 11. Minimum-maximum soil temperatures at a depth of 2.5 cm on mineral and litter seedbeds under 0%, 25%, and 50% shade cover— 1988 and 1989. Values in parentheses are mean minima and maxima for the summer Year Seedbed condition 1988 Mineral Minimum Maximum Percent shade cover 0 25 50 - - 0C -12 ( I) - 8 ( 3) - 7 ( I) 37 (26) 28 (20) 29(23) Litter Minimum Maximum - 9( 2) 27(23) - 8 ( 2) 24 (19) - 7 ( 2) 28 (21) Mineral Minimum Maximum -12 (-2) 36(25) - 8 (-1) 26(22) - 9 (-1) 29(23) Litter Minimum Maximum - 9 (-1) 29(23) - 8 (-1) 30 (20) -11( 0) 23(17) 1989 Temperature 59 TEMPERATURE (DEGREES C) MINERAL -10 - -- OX Shade .. 25% Shade -- 50% Shade Extremes August September LITTER -10 - -.. — — — 0% Shade 25% Shade 50% Shade Extremes August Figure 14. September Mean minimum-maximum soil temperatures at a depth of 2.5 cm on mineral and litter seedbeds under 0%, 25%, and 50% shade cover by date for 1988. Bold lines represent the minimum and maximum temperatures recorded. 60 TEMPERATURE (DEGREES C) MINERAL -- OX Shade .. 25% Shade -- 50% Shade — Extremes August September LITTER “ 10 - -- 0% Shade .. 25% Shade — — 50% Shade Extremes August Figure 15. September Mean minimum-maximum soil temperatures at a depth of 2.5 cm on mineral and litter seedbeds under 0%, 25%, and 50% shade cover by date for 1989. Bold lines represent the minimum and maximum temperatures recorded. 61 CHAPTER 4 CONCLUSIONS Seed survival, germination, and seedling survival of whitebark pine are affected by biotic and microsite factors including predation, shade cover, seedbed, and sowing depth. Seed Losses Evaluation of seed losses from predation indicate that: 1. Where it is accessible to them rodents removed essentially all surface-sown and most buried seeds. Survivors germinate the first and second year after planting. Mammals would probably have found fewer buried seeds if nearby surface-sown seeds had not acted as an attractant and, if so, the number of emergents would have been greater. 2. Avian predators did not remove whitebark seeds exposed on the ground. Seed security must have resulted from the inability of the birds to detect the seeds. Clark's 62 nutcrackers were observed sitting on several exclosures, but none were seen foraging for seed inside exclosures open to birds. Emergence Emergence of first-year and delayed whitebark pine is affected by sowing depth, seedbed condition, and shade cover, in decreasing order of significance. The collective effects of those factors were different for seeds that germinated the first summer after seeding than for those that carried over germinated in the second summer (delayed emergence). I. Results from this study indicate that: Probably due to microclimate effects, emergence rate of whitebark seeds is higher on treatments that exclude birds and rodents than on exclude rodents only treatments. Both these treatments protected all sown seeds from predation. The overtopping screen likely modified the microsite climate on treatments that exclude birds and rodents by retaining heat during the nights and reducing temperatures during the day. I 63 2. More sound whitebark pine seed germinated in the second (delayed emergence) than in the first spring after planting. Emergence differences between delayed and first-year emergence within a year are attributed to a dormancy delay. 3. First-year emergence was higher in moist 1989 than in dry 1988. The low germination of 1988 is attributed to drought enforcement. 4. When predation is eliminated emergence of buried seeds is significantly higher than that of surface—sown seed. In the field this effect will be magnified because few surface-sown seeds escape mammal predation. 5. Emergence of surface-sown seeds occurs immediately after snow melt and ends by late June. Buried seeds begin emergence later (late June) and emergence is complete by the first of August. Most emergence is completed before optimum soil temperatures are reached in early August. 6. Increased shade cover increases emergence of whitebark pine seedlings. First-year emergence of whitebark is slightly higher on shaded plots under low precipitation 64 conditions (1988) and significantly higher for both first-year and delayed emergence when precipitation is near normal (1989). 7. First-year emergence is not different between seedbed types under non-shaded conditions, but it is significantly higher on shaded-mineral than on shaded-litter seedbeds. There was no interaction of shade cover and seedbed condition for delayed emergents. 8. First-year emergence was affected by soil conditions. Emergence was lower on sandy soils with only a thin A horizon than on soils with both A and B horizons. Delayed emergence was not affected by seedbed condition. Mortality Mortality of whitebark pine emergents switches from insolation to drought to animal causation as the year progresses. I. Mortality results indicate that: On nonpredation plots seedling mortality during the first growing season was due to drought (10% and 6%), insolation (13% and 3%), and animals (0% and 1%) for 1988 and 1989 respectively. Animals caused mortality by burying seedlings with soil brought to the surface by pocket gophers. r 65 2. Shade cover generally decreased insolation mortality. Insolation mortality begins in late June when sun angle is highest, peaks in July and ceased in early August. 3. Surface germinated seedlings usually died from drought before the start of insolation mortality. Radicle extension is apparently too slow to ensure establishment unless the seed are located on ideal microsites. 4. Increasing shade cover increased drought mortality. Shade covers may intercept precipitation, a critical resource in dry 1988. 5. Survival of surface-sown seeds is lower than :for buried seeds with most mortality occurring immediately after germination. 6. Most first-year mortality occurs during the winter months but, due to winter inaccessibility of the site, its cause is unknown. This study provides information on the regeneration process of whitebark pine that will help forest managers and researchers. For example, we now know how much seed loss is due to predation; when and how much emergence occurs in dry and near normal precipitation years; how 66 much shade, which seedbed, and what sowing depth is best for whitebark emergence; that whitebark seeds can delay emergence for at least 2 years; and that several mortality factors affect first-year seedling survival. Several questions remain: Which habitat type-aspectelevational combinations are best for whitebark germination, survival, and growth? What are the seed transfer limits for whitebark; longitudinally, latitudinally, and eleyational? Will the effect of burning on whitebark emergence be more beneficial over time as it is for other subalpine species (Fiedler.1980)? Will whitebark germinate after 3 or more years of dormancy? Results from this study are preliminary but begin to explain seed germination and seedling survival characteristics of whitebark pine and also point out the need for additional information. Even though these results are not complete we now know that we can artificially regenerate whitebark pine by placing seeds 5 cm deep in mineral soil seedbeds. Fall planting will provide natural stratification conditions. We also know that to be more successful we should provide 25% to 50% shade to aid seed germination and seedling survival. Shelterwood cuttings could be used to provide these shade conditions. Because seed-eating rodents are attracted to concentrations of seeds, we should sow seeds at least I m apart and that we should plant at least 15 times more 67 seeds than the number of trees we eventually want established on the area. We should wait at least 2 years before accessing regeneration results from first-year and delayed emergence. It should be recognized that these results are preliminary, that more results will be forthcoming, and that these recommendations may change to reflect future results. 68 LITERATURE CITED 69 Amman, G . D., "Characteristics of mountain pine beetles reared in four pine hosts." Environmental Entomology, 11(3) (1982): 590-593. Arno, S., "Whitebark pine cone crops— a diminishing source of wildlife food?" Western Journal of Applied Forestry, 1(3) (1986): 92-94. Arno, S . and Hoff, R. J., "Silvics of whitebark pine (Pinu,s albicaulis)." General Technical Report INT-253. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1989. 11 p. Arno, S . and. Weaver, T., "Whitebark pine community types and their patterns on the landscape." In: Proceedings— Whitebark pine ecosystems: ecology and management of a high-mountain resource. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, in press, 1990. Borzan, Z., "The application of x-rays in the analysis of seeds of forest species." Sumarski List, Zagreb No. 5-6 (1973): 166-189. Translated by. Liliane Neji ed. Cathy Wolfheim for NSF and USDA Forest Service, Washington, DC (1977). Craighead, J . J., Scaggs, G. B., and Sumner, J. S., "A definitive system for analysis for grizzly bear habitat and other wilderness resources." Wildlands Institute Monograph I. Missoula, MT: University of Montana, 1982. 279 p. Critchfield, W. B., and Little, E . L., "Geographic distribution of the pines of the world." Miscellaneous Publication 991. Washington, DC: U.S. Department of Agriculture, Forest Service, 1966. 97 p. Eggers, D . E., "Management of whitebark pine as potential grizzly bear habitat." In: Proceedings— grizzly bear habitat symposium; 1985 April 30-May 2; Missoula, MT. General Technical Report INT-207. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, (1986): 170-175. Fiedler, C. E., "Analysis of regeneration in the subalpine fir zone of western'Montana." Manuscript on file.at: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, Forestry Sciences Laboratory, Bozeman, MT, 1980. 64 p. 70 Fitter, A. H., and Hay, R„ K . M „ , "Environmental physiology of plants." New York, NY: Academic Press, 1983. 355 p. Forcella, F., "Flora, chorology, biomass and productivity of the Pinus aIbicaulis-Vaccinium scoparium association." Madrono 25 (1978) : 139-150. Hutchins, H . E., Grand Rapids, MN: Itasca Community College, Department of Forestry, personal communication, 1989. Gorski, T., and Gorska, K., "Inhibiting effects of full daylight on the germination of Lactuca sativa L ." Planta, 144 (1979): 121-124. Hutchins, H . E., and banner, R. M., "The central role of Clark's nutcracker in the dispersal and establishment of whitebark pine." Oecologia, 55(1982): 192-201. Jacobs, J., and Weaver, T., "Effects of temperature and light levels on germination and early growth of Pinus albicaulis under laboratory conditions." In: Proceedings— Whitebark pine ecosystems: ecology and management of a high-mountain resource. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, in press, 1990. Kahn, "The physiology and biochemistry of seed dormancy and germination." Elsevier, North-Holland Biomedical Press, (1977). 547 p. Kendall, K. C., "Use of pine nuts by grizzly and black bears in the Yellowstone area." Interagency conference on bear research and management. In: Bears— their biology and management. Calgary, AB: International Association of Bear Management. 5(1983): 166-173. Knight, R. R., Blanchard, B . M., and Mattson, D . J., "Yellowstone grizzly bear investigations: annual report of the interagency study team— 1987." Bozeman, MT: U.S. Department of the Interior, National Park Service, 1987. Krugman, S. L., and Jenkinson, J. L., "Pinus L . pine." In: Schopmeyer, C. S., ed. Seeds of woody plants in the United States. Agricultural Handbook 450. Washington, DC: U.S. Department of Agriculture, Forest Service, (1974): 598-638. 71 Lanner, R. M., "Avian seed dispersal as a factor in the ecology and evolution of limber and whitebark pines." In: Sixth North American forest biology workshop proceedings. Edmonton, AB: University of Alberta, (1980): 14-48. banner, R. M., "Adaptations of whitebark pine for seed dispersal by Clark's nutcracker." Canadian Journal of Forest Research, 12(2) (1982): 391-402. banner, R. M., and Vander .Wall, S . D., "Dispersal of limber pine seed by Clark's nutcracker." Journal of Forestry, 78(1) (1980): 637-639. McCaughey, W. W., and Schmidt, W. C., "Autecology of whitebark pine." In: Proceedings— Whitebark pine ecosystems: ecology and management of a high-mountain resource. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, in press, 1990. Mosteller, F., and Youtz, C., "Tables of the Freeman-Tukey transformations for the binomial and Poisson distributions." Biometrika, 48(3 and 4) (1961): 433-440. Perry, David A., "Nutrients and timber harvest in pine forests: state of knowledge." Bulletin 62. Corvallis, OR: Oregon State University, Forestry Research Laboratory, (1979). 37 p. Pfister, R. D., Kovalchick, B . L., Arno, S., and Presby, R., "Forest habitat types of Montana." General Technical Report INT-34. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1977. 174 p. Pitel, J. A., and Wang, B . S. P., "A preliminary study of dormancy in Pinus albicaulis seeds." Bi-Monthly Research Notes. Chalk River, ON: Canadian Forest Service, Petawawa National Forest Institute, 36(1) (1980): 4-5. SAS Institute Inc. "SAS/STAT guide for personal computers." Version 6 Edition. Gary, NC: SAS Institute Inc., 1987. 1028 p. 72 Schmidt, W. C., and Lotan, J. E., "Establishment and initial development of lodgepole pine in response to residue management. General Technical Report INT-9O. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, (1980): 271-286. Schmidt, W. C., Shearer, R. C., and Roe, A. L., "Ecology and silviculture of western larch forests." Technical Bulletin 1520. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1976. 96 p. Seidel, K. W., "Regeneration in mixed conifer shelterwood cuttings in the Cascade Range of Eastern Oregon." Research Paper PNW-264. Portland, OR: U.S. Department of Agriculture,.Forest Service, Pacific Northwest Forest and Range Experiment Station, 1979. 29 p. Snedecor, G. W., arid Cochran, W. B.,. "Statistical methods." 7th edition. Ames, IA: Iowa State University Press, 1980. 507 p. Soil Survey Staff, "Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys." Agricultural Handbook No. 436. Washington, DC: U.S. Department of Agriculture, 1975. 682 p. Tomback, D. F., "Foraging strategies of Clark's nutcracker." Living Bird, 16(1977): 123-160. Tomback, D. F., "Notes on cones and vertebrate-mediated seed dispersal." Madrono, 28(2) (1981): 91-94. Tomback, D . F., "Dispersal of whitebark pine seeds by Clark's nutcracker: a mutualism hypothesis." Journal of Animal Ecology, 51 (2) (1982) : 451-467. Tomback, D . F., "Nutcrackers and pines: coevolution or coadaptation?" In: Niteck, M. H., ed. Coevolution. Chicago and London: University of Chicago Press, (1983): 179-223. Vander Wall, S . B., and Hutchins, H . E., "Dependence of Clark's nutcracker, Nucifraga columbiaha, on conifer seeds during postfledgling period." Canadian FieldNaturalist, 97(2) (1983): 208-214. Vogl, Richard J., and Ryder, Calvin, "Effects of slash burning on conifer reproduction in Montana's Mission Range." Northwest Science, 43(3) (1969): 135-147. 73 Weaver, T., and Dale, D., "Finns albicaulis in Central Montana: environment, revegetation, and production." American Midland Naturalist, 92(1974): 222-230. Weaver. T., and Forcella, F., "Cone production in Finns albicaulis forests." In: Shearer, R. C., compiler. Proceedings— Conifer tree seed in the Inland Mountain West; 1985 August 5-6; Missoula, MT. General Technical Report INT-203. Ogden, ,UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1986: 68-76. Weaver, T., Forcella, F., and Dale, D., "Stand development in whitebark pine woodlands." In: Proceedings— Whitebark pine ecosystems: ecology and management of a high-mountain resource. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, in press, 1990. Zasada, J . C., Foote, M. J., Deneke, F . J., and Parkerson, R • H., "Case history of an excellent white spruce cone and seed crop in Interior Alaska: cone and seed production, germination, and seedling survival." General Technical Report PNW-65. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1978. 53 p. 74 APPENDIX Table 12. Precipitation based on inches of accumulated water per month for the hydrologic years 1987, 1988, and 1989 at the Canyon weather station in Yellowstone National Park, Wyoming. Data supplied by the Soil Conservation Service. Year Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. 1987 ' 0.6 (33) 3.9 (155) 0.3 (12) 2.3 (78) 1.4 (65) 1.5 (64) 0.4 (21) 4.4 (167) 1.6 (61) 4.0 (222) 1.0 (47) 0.2 (9) 21.6 (78) 1988 0.4 (22) 1.9 (76) 2.6 (100) 3.3 (112) 2.5 (116) 2.5 (107) 3.3 (173) 2.4 (91) 0.5. (19) 0.2 (U) 0.4 (19) 1.2 (51) 21.2 (76) 1989 0.2 (11) 4.1 (163) 1.7 (66) 3.8 (129) 2.0 (93) 5.7 (244) 1.6 (84) 3.2 (121) 1.3 (49) 1.4 (78) 2.0 (94) 0.7 (30) 27.7 (100) 1.80 2.51 2.59 2.95 2.16 2.34 1.91 2.64 2.63 1.80 2.13 2.34 27.81 29 yr Average Sept. Total - Values in parentheses are the percent of accumulated precipitation in relation to the long-term average for that month or total. Table 13. Precipitation based on inches of accumulated water per month for the hydrologic years 1987, 1988, and 1989 at the Mill Creek weather station on the Gallatin National Forest. Data supplied by the.Soil Conservation Service. Year Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Total 1987 0.5 (33) 1.6 (90) 0.3 (15) 1.1 (57) 0.8 (55) 2.0 (79) 1.2 (56) 4.3 (107) 1.8 (70) 3.9 (175) 3.4 (209) 0.4 (18) 21.3 1988 0.5 (33) 0.6 (34) 1.6 1.9 (99) 2.3 (158) 2.9 (114) 3.4 (157) 5.3 (132) 1.2 (47) 0.9 (40) 0.1 (<D 0.7 (32) 21.4 (78) 1.8 (120) 2.4 (135) 1.0 (49) 1.7 (89) 1.3 (89) 2.8 (HO) 1.3 (60) 6.3 (156) 2.9 (112) 2.0 (90) 1.3 (80) 1.8 (83) 26.6 1.50 1.78 2.06 1.92 1.46 2.54 . 2.16 4.03 2.58 2.23 1.63 2.18 26.06 1989 16 yr Average - Values in parentheses are the percent of accumulated precipitation in relation to the long-term average for that month or total. r T a b l e 14 1988 analysis of variance results showing significance of biotic and microsite factors and two-factor interactions on cumulative percent e m e r g e n c e (arc sine of t h e s q u a r e r oot of p r o p o r t i o n transformation) of w h i t e b a r k p i n e for e a c h r e c o r d i n g date. ................................. Factors and interactions I 6/16 6/25 7/1 7/7 Predator exclusion .1699 .0035 .0003 Shade cover .6063 .3434 Seedbed condition .1077 Sowing depth Probability of 'F ' by Date 7/14 7/21 7/28 8/11 8/24 9/9 9/20 10/1 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .4613 .6064 .4770 .3384 .2901 .2752 .2521 .2483 .2483 .2483 .0102 .0139 .0223 .0190 .0091 .0147 .0199 .0221 .0055 .0055 .0055 .1077 .1323 .0005 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 Replicate .1298 .0519 .0032 .0022 .0007 .0004 .0002 .0001 .0002 .0001 .0001 .0001 Pred x Shade .4225 .3660 .2452 .2278 .2090 .1881 .1506 .1431 .1651 .1466 .1466 .1466 Pred x Seed .1699 .0149 .0308 .1252 .1842 .0763 .0539 .0567 .0599 .0494 .0494 .0494 Pred x Sow .1699 .1730 .0266 .0048 .0045 .0034 .0042 .0032 .0069 .0144 .0144 .0144 Shade x Seed .6063 .2516 .2015 .1033 .0602 .0598 .0639 .0733 .0995 .0544 .0544 .0544 The probability values represent the significance probability associated with the F statistic. T a b l e 15 . 1989 analysis of v a r i a n c e results showing significance of biotic and microsite factors and two-factor interactions on cumulative percent e m e r g e n c e (arc s i n e o f t h e s q u a r e r o o t of p r o p o r t i o n t r a n sformation) of w h i t e b a r k p i n e for e a c h r e c o r d i n g date. Probability of 'F ' by Date ^ Factors and interactions i 6/9 6/17 6/23 7/7 Predator exclusion .0000 .9292 .7793 Shade cover .0000 .0425 Seedbed condition .0000 Sowing depth 7/14 7/21 7/27 .0011 .0421 .0743 .0655 .0047 .3916 .8286 .8192 .2985 .0721 .0101 .0001 .0000 .0001 .0001 .0296 Replicate .0000 .2090 .1176 Pred x Shade .0000 .9027 Pred x Seed .0000 Seed x Sow .0000 8/4 8/18 8/31 9/11 10/19 .1883 .3825 .3828 .3110 .3110 .5298 .1537 .0679 .0849 .0080 .0080 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .0001 .1192 .1216 .0723 .0447 .0651 .0888 .0979 .0736 .0736 .9481 .7268 .5722 .3875 .2634 .1844 .1749 .1315 .1618 .1618 .6179 .7614 .6825 .7192 .5355 .2600 .1371 .0646 .0690 .0477 .0477 .2985 .0202 .0011 .0001 .0001 .0001 .0001 .0001 .0001 .0015 .0015 The probability values represent the significance probability associated with t h e --F s t a t i s t i c . MONTANASTATEUNIVERSITYLIBRARIES 3 IHlllIIllIfliI 762 10074746 6